Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: Clinical and pathological characteristics of patients with GC enrolled in the present study.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Expressing

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A) The level of hsa_circRNA_100269 was determined in 56 GC tissues and paired non-tumour samples using reverse transcription-quantitative polymerase chain reaction. (B) Hsa_circRNA_100269 expression was assessed in GC patients with different tumour grades. (C) The level of hsa_circRNA_100269 was evaluated in GC tissues with or without metastasis. (D) Survival analysis of GC patients with low- or high- hsa_circRNA_100269 expression. (E) The expression of hsa_circRNA_100269 was examined in GC cell lines (AGS, NCI-N87 and MKN-45) and one normal human gastric epithelial cell line (GES-1). All the experiments were performed in triplicate. *P<0.05 vs. corresponding control group. GC, gastric cancer.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Reverse Transcription, Real-time Polymerase Chain Reaction, Expressing, Control

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: Influence factors of the prognosis in GC patients were identified.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Expressing

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A) Transfection efficiency of o/e-hsa_circRNA_100269 was confirmed using RT-qPCR. (B and C) The proliferation of GC cells transfected with o/e-hsa_circRNA_100269 or o/e-NC were determined using Cell Counting Kit-8 assay. (D and E) The migration of transfected AGS and MKN-45 cells were evaluated using a wound healing assay (magnificationx100). (F and G) The invasive activity of GC cells transfected with o/e-hsa_circRNA_100269 or o/e-NC were examined (magnificationx200). (H and I) The expression levels of EMT-associated markers were evaluated using RT-qPCR and western blotting. All the experiments were performed in triplicate. *P<0.05 vs. o/e-NC. GC, gastric cancer; NC, negative control; RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Transfection, Quantitative RT-PCR, Cell Counting, Migration, Wound Healing Assay, Activity Assay, Expressing, Western Blot, Negative Control, Reverse Transcription, Real-time Polymerase Chain Reaction

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A and B) The distribution of cell cycle and apoptosis in GC cells overexpressing hsa_circRNA_100269 were examined. (C and D) The apoptosis of AGS and MKN-45 cells transfected with o/e-hsa_circRNA_100269 were also determined using flow cytometry. (E and F) The expression levels of apoptosis-associated markers were evaluated in transfected GC cells compared with the control. All the experiments were performed in triplicate. *P<0.05 vs. o/e-NC. GC, gastric cancer.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Transfection, Flow Cytometry, Expressing, Control

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A) Transfection efficiency of sh-hsa_circRNA_100269 was evaluated by RT-qPCR. (B and C) The viabilities of GC cells transfected with sh-hsa_circRNA_100269 or sh-NC were examined using Cell Counting Kit-8 assay. (D-G) The migration and invasion of transfected AGS and MKN-45 cells were determined using wound healing (magnificationx100) and Transwell assay (magnificationx200). (H and I) The levels of EMT-related molecules were determined using RT-qPCR and western blotting. All the experiments were performed in triplicate. *P<0.05 vs. non-transfected cells. GC, gastric cancer; NC, negative control; RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Transfection, Quantitative RT-PCR, Cell Counting, Migration, Transwell Assay, Western Blot, Negative Control, Reverse Transcription, Real-time Polymerase Chain Reaction

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A and B) The distribution of cell cycle and apoptosis in GC cells transfected with sh-hsa_circRNA_100269 were determined. (C-F) The apoptosis of AGS and MKN-45 cells with hsa_circRNA_100269 knockdown were also examined compared with the controls. All the experiments were performed in triplicate. *P<0.05 vs. non-transfected cells. GC, gastric cancer.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Transfection, Knockdown

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A) The levels of molecules involved in the PI3K/Akt signaling were assessed in AGS and MKN-45 cells with overexpression/knockdown of hsa_circRNA_100269. (B) The expression of PI3K was examined in GC and matched non-tumour tissues. (C) PI3K expression was evaluated in GC patients with various tumour grades. (D) The expression level of PI3K was determined in GC tissues with metastasis compared to the controls. (E) Spearman’s correlation analysis indicated the inverse correlation between hsa_circRNA_100269 and PI3K in GC samples (r = -0.3291; P = 0.00938). (F) The level of PI3K was also assessed in GC cells compared with normal human gastric epithelial cells. All the experiments were performed in triplicate. *P<0.05 vs. corresponding control group. GC, colorectal cancer.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Over Expression, Knockdown, Expressing, Control

Journal: PLoS ONE

Article Title: Upregulated hsa_circRNA_100269 inhibits the growth and metastasis of gastric cancer through inactivating PI3K/Akt axis

doi: 10.1371/journal.pone.0250603

Figure Lengend Snippet: (A and B) The proliferation of GC cells transfected with sh-NC, sh-hsa_circRNA_100269 or co-treated with LY294002 was assessed. (C-F) The migration and invasion of treated AGS and MKN-45 cells were determined. (G and H) EMT and apoptosis of transfected GC cells were evaluated. All the experiments were performed in triplicate. *P<0.05 vs. sh-NC. GC, gastric cancer; NC, negative control.

Article Snippet: Doxycycline-inducible constructs were produced by inserting hsa_circRNA_100269 into a tet-on circRNA expression vector (Addgene #92351).

Techniques: Transfection, Migration, Negative Control

Journal: Journal of Cellular and Molecular Medicine

Article Title: Screening differential circular RNA expression profiles reveals the regulatory role of circMARS in anti‐tuberculosis drug‐induced liver injury

doi: 10.1111/jcmm.17157

Figure Lengend Snippet: Study flow chart. First, the difference of circRNA expression profiles between anti‐tuberculosis drug‐induced liver injury (ADLI) and non‐ADLI patients were explored. Then, a differentially expressed circRNA was selected for verification in a cohort of 300 patients. Finally, the function of this circRNA was verified in a self‐controlled cohort of 35 patients based on the results of the experimental study

Article Snippet: The circRNAs in the discovery cohort were profiled using the CapitalBio Technology CircRNA Human Gene Expression Microarray v2.0 (CapitalBio Technology, Beijing, China).

Techniques: Expressing

Journal: Journal of Cellular and Molecular Medicine

Article Title: Screening differential circular RNA expression profiles reveals the regulatory role of circMARS in anti‐tuberculosis drug‐induced liver injury

doi: 10.1111/jcmm.17157

Figure Lengend Snippet: Identification of circRNA expression profiles in ADLI. (A) The scatter plots of circRNAs expression variations in the ADLI patients and in vitro assays. The red and green points in the plot indicate the upregulated and downregulated circRNAs. (B) Venn diagrams of the co‐expression circRNAs in the serum and cells. Two drugs: cells with Isoniazid (INH) + Rifampicin (RFP); three drugs: cells with INH + RFP + Pyrazinamide (PZA)

Article Snippet: The circRNAs in the discovery cohort were profiled using the CapitalBio Technology CircRNA Human Gene Expression Microarray v2.0 (CapitalBio Technology, Beijing, China).

Techniques: Expressing, In Vitro

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: Differences in the circRNA expression profiles between the two groups. (A) The scatter plot showed the differences in circRNA expression between the SCI and sham groups. The values of the X and Y axes in the scatter plot are the normalized signal values of the samples (log2 scaled) or the averaged normalized signal values of groups of samples (log2 scaled). The green lines are fold change lines. The circRNAs above the top green line and below the bottom green line indicated more than twofold changes of circRNAs between the two compared samples. (B) Volcano plots show the differentially expressed circRNAs with statistical significance (fold change ≥ 2; P < 0.05). The vertical lines correspond to 2.0-fold up and down, respectively, and the horizontal line represents a P of 0.05; the red point in the plot represents differentially expressed circRNAs with statistical significance. (C) The distribution of differentially expressed circRNAs in chromosomes is presented, showing that the dysregulated circRNAs stem from every chromosome. (D) The bar diagram of circRNA categories based on gene sources is shown, revealing that most of the circRNAs altered after SCI are exonic.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques: Expressing

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: Hierarchical clustering of circRNA expression. C101/103/104 refers to the cord samples from the sham control group, and T113/114/116 refers to the cord samples from the SCI group. (A) Hierarchical clustering analysis included all 13279 circRNAs between the sham control and the SCI groups. (B) Hierarchical clustering analysis included differentially expressed circRNAs (fold change ≥ 2; P < 0.05) between the sham control and the SCI groups.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques: Expressing, Control

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: The five highest-ranking miRNA candidates for top 10 up-regulated and down-regulated circRNAs.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques:

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: Validation of five selected circRNAs using qRT-PCR. Compared with the sham control, rno_circRNA_005342, rno_circRNA_015513, rno_circRNA_002948, rno_circRNA_006096, and rno_circRNA_013017 in the SCI group were all significantly downregulated after SCI after validation by PCR assay in 12 samples (A–E). The data were normalized using the mean ± SEM ( n = 6 per group). ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗∗ P < 0.0001.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques: Biomarker Discovery, Quantitative RT-PCR, Control

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: The circRNA/miRNA/mRNA network analysis. The network included the 5 circRNAs, 60 miRNAs, and 253 mRNAs (Nodes with red color are miRNAs; nodes with light-blue color are mRNAs; nodes with brown color are circRNAs).

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques:

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: The top 10 up-regulated and down-regulated circRNAs ranked by fold changes after SCI.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques:

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: Comparison for candidate circRNAs expression in microarray and PCR.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques: Comparison, Expressing, Microarray

Journal: Frontiers in Molecular Neuroscience

Article Title: Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

doi: 10.3389/fnmol.2018.00497

Figure Lengend Snippet: Sequences of primers used for qRT-PCR assay.

Article Snippet: Additionally, the distribution of differentially expressed circRNAs in rat chromosomes and the bar diagram of circRNA categories were performed by GraphPad prism 6.

Techniques: Sequencing

Journal: Scientific Reports

Article Title: Circular RNAs expression profiles in human gastric cancer

doi: 10.1038/s41598-017-09076-6

Figure Lengend Snippet: Hierarchical clustering, volcano plots, and scatter plots exhibited the differentially expressed circRNAs in gastric cancer tissues compared to paired non-gastric cancer tissues. ( A ) Hierarchical clustering, numbers were the samples used for the microarray assay. C: cancer tissues, N: non-cancerous tissues. ( B ) Differentially expressed circRNAs were displayed by volcano plots. The green and red parts indicated >2 fold-decreased and -increased expression of the dysregulated circRNAs in GC tissues, respectively (p < 0.05). ( C ) Differentially expressed circRNAs were displayed by scatter plots. The green and red parts indicated >2 fold-decreased and -increased expression of the dysregulated circRNAs in GC tissues (p < 0.05).

Article Snippet: The circRNAs expression profile microarray chip assay and data and bioinformatics analysis were carried out by Capitalbio Corporation (Beijing, China).

Techniques: Microarray, Expressing

Journal: Scientific Reports

Article Title: Circular RNAs expression profiles in human gastric cancer

doi: 10.1038/s41598-017-09076-6

Figure Lengend Snippet: The top up- and down-regulated differentially expressed circRNAs in GC tissues compared to those in non-cancerous tissues by both probes.

Article Snippet: The circRNAs expression profile microarray chip assay and data and bioinformatics analysis were carried out by Capitalbio Corporation (Beijing, China).

Techniques:

Journal: Scientific Reports

Article Title: Circular RNAs expression profiles in human gastric cancer

doi: 10.1038/s41598-017-09076-6

Figure Lengend Snippet: Verification of the differentially expressed circRNAs by qRT-PCR. The expression of 7 lncRNAs in 50 paired GC tissues was detected by qRT-PCR, which were shown by the expression fold changes. Comparison of the results obtained from qPCR and microarray assay revealed satisfactory consistency.

Article Snippet: The circRNAs expression profile microarray chip assay and data and bioinformatics analysis were carried out by Capitalbio Corporation (Beijing, China).

Techniques: Quantitative RT-PCR, Expressing, Comparison, Microarray

Journal: Scientific Reports

Article Title: Circular RNAs expression profiles in human gastric cancer

doi: 10.1038/s41598-017-09076-6

Figure Lengend Snippet: The numbers of potential targeted miRNAs of the differentially expressed circRNAs.

Article Snippet: The circRNAs expression profile microarray chip assay and data and bioinformatics analysis were carried out by Capitalbio Corporation (Beijing, China).

Techniques:

Journal: Scientific Reports

Article Title: Circular RNAs expression profiles in human gastric cancer

doi: 10.1038/s41598-017-09076-6

Figure Lengend Snippet: Represent circRNA-miRNA network. This network was based on the expression profile results and the related software. The 3 dysregulated circRNAs, hsa_circ_0076304, hsa_circ_0035431, and hsa_circ_0076305 (purple red nodes) having the highest magnitude of change, were predicted to be functionally connected with their targeted miRNAs in the network.

Article Snippet: The circRNAs expression profile microarray chip assay and data and bioinformatics analysis were carried out by Capitalbio Corporation (Beijing, China).

Techniques: Expressing, Software